Abstract

In regions with large, mature fault systems, a characteristic earthquake model may be more appropriate for modelling earthquake occurrence than extrapolating from a short history of small, instrumentally observed earthquakes using the Gutenberg–Richter scaling law. We illustrate how the geomorphology and geodesy of the Malawi Rift, a region with large seismogenic thicknesses, long fault scarps, and slow strain rates, can be used to assess hazard probability levels for large infrequent earthquakes. We estimate potential earthquake size using fault length and recurrence intervals from plate motion velocities and generate a synthetic catalogue of events. Since it is not possible to determine from the geomorphological information if a future rupture will be continuous (7.4 ≤ M W ≤ 8.3 with recurrence intervals of 1,000–4,300 years) or segmented (6.7 ≤ M W ≤ 7.7 with 300–1,900 years), we consider both alternatives separately and also produce a mixed catalogue. We carry out a probabilistic seismic hazard assessment to produce regional- and site-specific hazard estimates. At all return periods and vibration periods, inclusion of fault-derived parameters increases the predicted spectral acceleration above the level predicted from the instrumental catalogue alone, with the most significant changes being in close proximity to the fault systems and the effect being more significant at longer vibration periods. Importantly, the results indicate that standard probabilistic seismic hazard analysis (PSHA) methods using short instrumental records alone tend to underestimate the seismic hazard, especially for the most damaging, extreme magnitude events. For many developing countries in Africa and elsewhere, which are experiencing rapid economic growth and urbanisation, seismic hazard assessments incorporating characteristic earthquake models are critical.

Highlights

  • For characterising earthquake sources, the Gutenberg–Richter (GR) scaling law (Gutenberg and Richter 1954), which expresses a decrease in earthquake frequency with increasing magnitude, is traditionally used to extrapolate possible occurrence rates of large earthquakes from a history of small earthquakes that can be observed directly

  • At all return periods and vibration periods, inclusion of fault-derived parameters increases the predicted spectral acceleration above the level predicted from the instrumental catalogue alone, with the most significant changes being in close proximity to the fault systems and the effect being more significant at longer vibration periods

  • The instrumental catalogue (IC) case for peak ground acceleration (PGA) and with a return period of 500 years most closely resembles the findings of Midzi et al (1999), who used ‘traditional’ probabilistic seismic hazard analysis (PSHA) methodology

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Summary

Introduction

The Gutenberg–Richter (GR) scaling law (Gutenberg and Richter 1954), which expresses a decrease in earthquake frequency with increasing magnitude, is traditionally used to extrapolate possible occurrence rates of large earthquakes from a history of small earthquakes that can be observed directly. As occurrence of a large earthquake involves a long strain accumulation process and our observation period of such a process is short, there is significant uncertainty regarding the estimated rate of occurrence. High-quality earthquake data for large fault systems are not readily available for all seismic regions around the world. In this case, the size of mapped fault segments can be used to estimate the characteristic magnitude via simple scaling relationships (e.g. Wells and Coppersmith 1994; Kolyukhin and Torabi 2012; Stirling et al 2013), and geodetic estimates of the rate of strain accumulation can be used to determine the associated recurrence interval (Reid 1911; Shimazaki and Nakata 1980). For identified faults and a given magnitude, the frequency can be inferred from estimated strain rate and can be incorporated into a probabilistic hazard assessment framework (Papastamatiou 1980)

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